Algorithmic Flesh Instalasi Interaktif dening Yalin Wang

Karya Algorithmic Flesh Instalasi Interaktif dening Yalin Wang minangka pemenang sing diajeni banget saka A' Design Award Perunggu 2026 sing bergengsi ing Kategori Kompetisi Desain Generatif, Algoritmik, Parametrik lan Dibantu AI.

PerungguGeneratif· 2026

Algorithmic Flesh Instalasi Interaktif

dening Yalin Wang

Klien: Yalin Wang

Pemenang A' Design Award Perunggu ing Kategori Generatif

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Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan kanggo #177508

Kunjungi Situs Deleng ing A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desaine

Babagan Algorithmic Flesh Instalasi Interaktif

Algorithmic Flesh minangka instalasi interaktif kang digawe kanggo presentasi warisan budaya. Instalasi iki nglacak obahing awak peserta kanthi wektu nyata lan nggunakake data obahan kasebut minangka input kanggo sistem kecerdasan buatan generatif. Sistem iki dilatih nganggo gambar-gambar mural Dunhuang lan ngasilake penari kahyangan kang obah ing proyeksi gedhe. Nalika posisi awak peserta cocog karo pose mural kang wis kacathet, siluet peserta bakal diowahi dadi penari kasebut. Tujuane yaiku ngowahi arsip statis dadi pengalaman kang urip lan bisa dirasakake bebarengan.

Pangakuan

Babagan A' Design Award Perunggu

Algorithmic Flesh Instalasi Interaktif menang A' Design Award Perunggu, pangenalan sing prestisius banget sing diparingake marang desain sing luar biasa sing dicirikake dening kreativitas, kapinteran lan kaweruh sing landhep. Pemenang Perunggu iku artefak sing trampil banget lan kreatif banget sing mbuktekake pengalaman sing jembar, imajinasi lan kapinteran para desainer. Algorithmic Flesh Instalasi Interaktif dikarepake dadi barang sing dihargai banget, dikagumi lan ditresnani, profesional lan inovatif banget. Desain sing menang A' Design Award Perunggu iki ngemot praktik sing paling apik ing seni, sains, desain lan teknologi, lan apik banget ing perhatiane marang rincian. Algorithmic Flesh Instalasi Interaktif nyukupi kabutuhan kanthi apik, nutul kekarepan, ngaya rasa lan narik rasa pengin weruh.

Ing Mburi Desain

Kit Pers

Kredit, anggota tim lan detail teknis sing diwenehake dening desainer.

Sifat Unik: Algorithmic Flesh is an interactive installation redefining cultural heritage preservation as Generative Revitalization. It introduces Somatic Prompting: bypassing text interfaces, the system uses the participant's real-time physical movements as the generative seed. This somatic input drives a deeply trained AI to computationally hallucinate a dynamic, multi-limbed celestial dancer in real-time, using data from UNESCO Dunhuang murals. The audience becomes active co-creators of a living ritual.
Ukuran & Kemasan: As a digital installation, "Algorithmic Flesh" is highly scalable for gallery or museum contexts. The typical setup requires a projection area of at least 3m x 2m (supporting either 16:9 landscape or 9:16 portrait orientation, up to 4K resolution) and a participant interaction zone 3-4 meters from the screen.
Tag: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Teknologi Produksi: Algorithmic Flesh uses a custom, closed-loop machine learning pipeline within ComfyUI. Real-time, markerless biomechanical tracking is achieved via OpenCV, MediaPipe, and YOLO26. Visual synthesis is driven by a FLUX LoRA model, fine-tuned on Tang Dynasty Dunhuang murals for absolute aesthetic fidelity. Temporal coherence is managed by Wan 2.2 Mixture-of-Experts video architecture, while the Google Veo 3 API provides cinematic spatiotemporal synthesis and native, physics-based audio generation.
Tantangan Desain: The primary challenge was epistemological: How to reconstruct the dynamic, anti-gravitational flight of ancient murals in a virtual space without reducing them to lifeless 2D data? We emphasize not replacing the physical UNESCO Mogao Caves with a simulation, but speculating on new representation models. We challenge the passive museum dynamic, proposing an interactive framework where human flesh computationally hallucinates and sustains the continuous flow of a broken historical lineage.
Riset: This research addresses the loss of kinesthetic knowledge in static cultural heritage by introducing a Generative Revitalization framework. Pioneering somatic prompting, the project explores how a participant's body guides a generative AI without text. The machine, trained on Dunhuang mural archives, computationally generates lost transitional movements between ancient poses. This offers a new perspective on digital materiality, transforming a passive archive into an embodied, co-interpretive ritual.
Inspirasi: How can we reawaken a dance frozen in stone for a millennium? Traditional digital preservation secures visual fidelity but flat-lines the dynamic essence of the Dunhuang Apsara murals into static maps—a Crisis of Stasis. Inspired by Heimkehren (returning home) and Buddhist philosophies of Anitya (Impermanence) and Pratityasamutpada (Interdependence), the design treats machine intelligence as a collaborator, celebrating the poetic instability of forms in transition as Digital Epiphanies.
Durasi Proyek: The project was developed over a 10-month period from January to October 2025. The research and technical implementation were conducted in Beijing, China, in affiliation with the Central Academy of Fine Arts.
Alur Operasi: A participant stands before the projection. Instantly, a "Cosmic Telemetry" UI tracks their skeletal data in real-time. As they move, the system calculates their posture against a canonical Dunhuang dataset (e.g., "raised_leg_flying [0.96] Mogao Cave 285"). Upon a high-confidence match, this somatic prompt triggers the AI. The UI dissolves, and the user's silhouette morphs into a fluid, hyper-realistic celestial dancer, transforming the viewer into a co-creator of a living ritual.
Paten: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Kredit Gambar: Image #1: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #2: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #3: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #4: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #5: Creator Yalin Wang, Algorithmic Flesh, 2025.
Video Credits: Creator Yalin Wang, Algorithmic Flesh, 2025.